| Literature DB >> 36013265 |
Xiaohang Chen1,2, Qiushi Li3, Longqian Liu1,2,4.
Abstract
The changes in subfoveal choroidal thickness after orthokeratology are crucial in myopia retardation; this study aimed to identify the risk factors that could be incorporated into a predictive model for subfoveal choroidal thickness (SFChT) that would provide further personalized and clinically specific information for myopia control. A one-year prospective study was conducted in the West China Hospital, Sichuan University. Basic information (age, gender, and height) was collected from all subjects. Initial spherical equivalent, axial length, intraocular pressure, central corneal thickness, and subfoveal choroidal thickness were measured, and the ocular environmental factors were also collected. All the measured parameters were recorded in the follow-up period for one year. After the analysis of univariate analysis, statistically significant factors were substituted into the multivariate three-level model. Thirty-three adolescents aged 8-14 years old were enrolled in this study; the results show that the subfoveal choroidal thickness in both eyes changed significantly after 12 months of lens wearing (pR < 0.0001, pL < 0.0001). The axial length was negatively correlated with the change in the SFChT after 12 months of lens wearing (r = -0.511, p = 0.002). After multilevel model analysis, the statistically significant factor was shown to have an important influence on the changes in the subfoveal choroidal thickness, which was the average near-work time. This suggested that the SFChT personal predictions can be made regarding changes in myopic adolescents after orthokeratology using the factor of daily average near-work time. Clinical practitioners will benefit from the results by obtaining a better understanding of the effects of orthokeratology on choroid and myopia progression.Entities:
Keywords: adolescents; choroidal thickness; multilevel model; myopia; orthokeratology; subfoveal choroidal thickness
Year: 2022 PMID: 36013265 PMCID: PMC9410041 DOI: 10.3390/jpm12081316
Source DB: PubMed Journal: J Pers Med ISSN: 2075-4426
Orthokeratology lens fitting and aftercare procedures.
| Details | |
|---|---|
| Before orthokeratology lens fitting | Learn the benefits and risks of wearing orthokeratology lenses |
| Ensure the wearer and/or guardian provide full informed consent | |
| The proper lens application and removal instructions, including lens maintenance and care | |
| Evaluation of ocular health (including eyelid condition and the corneal endothelium) by slit-lamp biomicroscopy | |
| Good adherence to routine follow-ups | |
| Orthokeratology lensfitting | Evaluate and record data on the following measurements: |
| Lens parameter selection and lens fitting evaluation | |
| Fluorescein evaluation | |
| Final parameter selection and lens customization | |
| Aftercare procedures | Avoid storing the lenses and other accessories in the bathroom or other humid places |
| Carefully check the lenses and identify if there are any noncompliant behaviors | |
| Evaluation of the cornea condition | |
| Measure other data mentioned in this study |
Figure 1Choroidal imaging with EDI-OCT mode. EDI-OCT, Enhanced deep imaging optical coherence tomography. RPE, retinal pigment epithelium layer.
The relative ocular environmental factors and assignments.
| Ocular Environmental Factors | Classification | Assignment |
|---|---|---|
| Average working distance per day | <33 cm | 0 |
| 33–40 cm | 1 | |
| >40 cm | 2 | |
| Average near-work hours per day | >5 h | 0 |
| 2–5 h | 1 | |
| <2 h | 2 | |
| Average sleeping hours per night | ≤7 h | 0 |
| 8 h | 1 | |
| >8 h | 2 | |
| Average outdoor time | <30 min | 0 |
| 30–60 min | 1 | |
| 61–120 min | 2 | |
| >120 min | 3 |
Baseline data of the subjects.
| Characteristics | Right Eye | Left Eye |
|---|---|---|
| Age (yr) | 10 (9, 11) | |
| Sex (Male) | 17 (51.5%) | |
| Height (cm) | 142.200 ± 7.400 | |
| SE0 (D) | −2.500 (−3.375, −2) | −2.500 (−3.250, −1.500) |
| IOP (mmHg) | 15.700 (14, 16.800) | 15.600 (13.700, 17.600) |
| AL (mm) | 24.659 ± 0.827 | 24.640 ± 0.834 |
| Average working distance per day (distance) | ||
| <33 cm | 1 (3.0%) | |
| 33 cm–40 cm | 32 (97.0%) | |
| >40 cm | 0 (0%) | |
| Average near-work hours per day (time) | ||
| >5 h | 5 (15.2%) | |
| 2–5 h | 21 (63.6%) | |
| <2 h | 7 (21.2%) | |
| Average sleeping hours per night (sleep) | ||
| ≤7 h | 0 (0%) | |
| 8 h | 29 (87.9%) | |
| >8 h | 4 (12.1%) | |
| Average outdoor time (outdoor) | ||
| <30 min | 1 (3.0%) | |
| 30–60 min | 17 (51.5%) | |
| 61–120 min | 10 (30.3%) | |
| >120 min | 5 (15.2%) | |
SE0, the initial spherical equivalent refraction; IOP, intraocular pressure; AL, axial length. Normally distributed data were expressed as mean ± SD, while non-normally distributed data were expressed as median (interquartile range). Qualitative data were expressed by frequency (percentage).
Figure 2The binocular SFChT changes over the one-year follow-up. * represents p < 0.05; *** represents p < 0.001; all the data were from right eyes of the subjects. ## represents p < 0.01; #### represents p < 0.0001; all the data were from left eyes of the subjects. Bars represent mean; error bars stand for the standard deviation of the mean.
Figure 3The changes in axial length in both eyes over the one-year orthokeratology lens wearing. Bars represent mean; error bars stand for the standard deviation of the mean.
Figure 4The correlations between the axial length elongation and the changes in the subfoveal thickness at nine-month follow-up.
Figure 5The correlations between the axial length elongation and changes in the subfoveal thickness at twelve-month follow-up.
Personalized predictive modeling of subfoveal choroidal thickness for myopia adolescents after orthokeratology.
| Variables | Model | Variance at the Individual Level | Variance at Ocular Level | Variance at Follow-Up Period Level | −2 Log Likelihood Function | |||
|---|---|---|---|---|---|---|---|---|
| Intercepts | Parameters | |||||||
| Value Effect | Wald |
| ||||||
| Zero model | 322.169 | - | 41.52 | <0.001 | 1844.42 (490.365) | 248.194 (70.149) | 219.110 (17.058) | 3480.598 |
| Univariate analysis model | ||||||||
| Age | 395.925 | −7.582 (4.921) | −1.54 | 0.123 | 1711.064 (457.625) | 248.194 (70.149) | 219.110 (17.058) | 3478.305 |
| Sex | 286.612 | 23.946 (14.955) | 1.60 | 0.109 | 1701.194 (455.202) | 248.194 (70.149) | 219.110 (17.058) | 3478.129 |
| Height | 566.410 | −1.717 (1.021) | −1.68 | 0.093 | 1687.706 (451.891) | 248.194 (70.149) | 219.110 (17.058) | 3477.886 |
| SE0 | 311.378 | −4.162 (5.545) | −0.75 | 0.453 | 1807.078 (481.954) | 248.746 (70.372) | 219.110 (17.058) | 3480.040 |
| IOP | 336.177 | −0.958 (0.497) | −1.93 | 0.054 | 1829.601 (487.449) | 253.825 (71.484) | 216.421 (16.849) | 3476.915 |
| CCT | 501.771 | −351.468 (102.292) | −3.44 | 0.001 ** | 1932.393 (513.555) | 249.495 (70.122) | 210.687 (16.408) | 3469.079 |
| Average working distance per day | 325.391 | −3.43 (3.01) | −1.14 | 0.255 | 1838.487 (488.933) | 248.326 (70.149) | 218.316 (16.996) | 3479.302 |
| Average near-work hours per day | 326.332 | −4.504 (1.736) | −2.59 | 0.009 ** | 1897.213 (503.809) | 249.014 (70.147) | 214.189 (16.676) | 3473.967 |
| Average sleeping hours per night | 328.111 | −5.711 (4.135) | −1.38 | 0.167 | 1862.436 (494.971) | 248.436 (70.148) | 217.656 (16.945) | 3478.699 |
| Average outdoor time | 324.915 | −1.855 (1.546) | −1.20 | 0.230 | 1862.231 (494.999) | 248.385 (70.148) | 217.965 (16.969) | 3479.163 |
| Multivariate multilevel analysis model | 527.574 | 9.65 | <0.001 | 1922.879 (510.917) | 252.745 (70.673) | 204.502 (15.923) | 3459.3688 | |
| CCT | −212.33 (115.576) | −1.84 | 0.066 | |||||
| Average near-work hours per day | −3.425 (1.725) | −1.99 | 0.047 * | |||||
* represents p < 0.05; ** represents p < 0.01; SE0, the initial spherical equivalent refraction; IOP, intraocular pressure; CCT, central corneal thickness.